Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 169183.58770394325 |
| Emissions (Co2eq in kg) | 0.127277533988772 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 15.0 |
| CPU energy (kWh) | 1.9973014022999327 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.704924325153233 |
| Consumed energy (kWh) | 2.702225727453176 |
| Country name | Switzerland |
| Cloud provider | nan |
| Cloud region | nan |
| CPU count | 6 |
| CPU model | Intel(R) Xeon(R) Platinum 8360Y CPU @ 2.40GHz |
| GPU count | nan |
| GPU model | nan |
Environmental Impact (for one core)
| Metric | Value |
|---|---|
| CPU energy (kWh) | 0.32567840633009076 |
| Emissions (Co2eq in kg) | 0.0662635718507111 |
Note
5 juillet 2024 !
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | fp_bs64_lr1e4_x4 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 0.0001 |
| batch_size | 64 |
| weight_decay | 0.0 |
| warm_up_prop | 0.0 |
| drop_out_prob | 0.1 |
| packing_length | 100 |
| train_test_split | 0.2 |
| num_steps | 10245 |
Training and Testing steps
| Epoch | Train Loss | Test Loss |
|---|---|---|
| 0.0 | 12.943485 | 12.933341 |
| 0.5 | 7.116094 | 7.001427 |
| 1.0 | 7.029282 | 6.981610 |
| 1.5 | 6.975847 | 6.964691 |
| 2.0 | 6.960084 | 6.959444 |
| 2.5 | 6.950387 | 6.961425 |
| 3.0 | 6.949019 | 6.958039 |
| 3.5 | 6.946019 | 6.943481 |
| 4.0 | 6.938758 | 6.945674 |
| 4.5 | 6.934854 | 6.948412 |
| 5.0 | 6.935800 | 6.938077 |
| 5.5 | 6.926165 | 6.934816 |
| 6.0 | 6.932531 | 6.937505 |
- Downloads last month
- -